Multibeam millimeter wave antenna

Andrenko, S. D.; Provalov, S. A.; Sidorenko, Yu. V.

doi:10.1109/msmw.2004.1346083

Cited by 1 publication

(1 citation statement)

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“…The range of values that we got for our parameters fits with the values in the well known standards like the 802.11ad standard for the Wireless Local Area Networks (WLAN) [14] where the highest FD is in the range of (10-100 msec) and as small as parts of the millisecond [13]. On the other hand, the resulted beamwidth for most of the situations above is also within the acceptable range where it can be as narrow as few degrees [14] or as wide as 100 degree [25]. We did not list the results for faster moving UEs (bike and car riding) because it is obvious that supporting such speeds required more sophisticated beam alignment or tracking techniques as the ones suggested in [26] and [27].…”

Section: Numerical Results and Discussionmentioning

confidence: 54%

Random Beamforming in Mobile mmWave Systems: Performance Evaluation and Parameters Optimization

Aljumaily¹,

Li²

2020

Preprint

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Random Beamforming (RBF) is considered one of the most promising beamforming techniques especially for Massive MIMO mmWave systems. It has been proven to achieve optimal sumrate capacity for downlink MIMO systems for many applications. In this paper, the RBF is implemented in a mmWave MIMO systems with mobile users and the effect of this mobility is studied. Beside that, some parameters of the system have been optimized for different realistic scenarios. The mathematical derivation of the system model and the simulation using some practical values have been conducted. The resulted degradation in system throughput as a consequence of beamforming outage that results from users mobility is calculated. Many factors that affect the system throughput were considered in the derivation. The second part of the paper is going a further step in optimizing the network parameters for different operation scenarios. These parameters include the frame duration and beam width. Taking in consideration that the outage probability is a Convex optimization problem, the optimal values of these parameters were derived. for the walking and running users cases.

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